Instructions to use perisolb/dialektmodel-unique_speakers03 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use perisolb/dialektmodel-unique_speakers03 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("audio-classification", model="perisolb/dialektmodel-unique_speakers03")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForAudioClassification processor = AutoProcessor.from_pretrained("perisolb/dialektmodel-unique_speakers03") model = AutoModelForAudioClassification.from_pretrained("perisolb/dialektmodel-unique_speakers03", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from perisolb/dialektmodel-unique_speakers03: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/perisolb/dialektmodel-unique_speakers03/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://perisolb/dialektmodel-unique_speakers03/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/perisolb/dialektmodel-unique_speakers03/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- a8b47de1525444eadec2674a49871d305ef5158f14c7c89300bd40e1ebffef0e
- Size of remote file:
- 378 MB
- SHA256:
- 184381c8ac9ea5725ed2d9b9a7716dee9d60a754e864e56a0ed52de25dc76af1
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